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Emotion Recognition from Isolated Marathi Speech using Energy and Formants
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 2 |
| Year of Publication: 2015 |
| Authors: Rani Prakash Gadhe, Ratndeep R. Deshmukh |
10.5120/ijca2015905837
|
Rani Prakash Gadhe, Ratndeep R. Deshmukh . Emotion Recognition from Isolated Marathi Speech using Energy and Formants. International Journal of Computer Applications. 125, 2 ( September 2015), 22-24. DOI=10.5120/ijca2015905837
Abstract
Speech emotion recognition is one of the interested research topics in today’s time. Presently there are many attempts have been made for emotions recognition. The speech features such as energy and formants are extracted from speech. Angry, stress, admiration, teasing and shocking, these emotional states have been recognized on the basis of speech feature using K-Nearest Neighbor (K-NN) as a classification technique.
References
- Shaikh Nilofer R. A.,Rani P. Gadhe, R. R. Deshmukh, V. B. Waghmare, P. P. Shrishrimal ,” Automatic emotion recognition from speech signals: A Review,” ISSN 2229-5518,International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015
- Vishal B. Waghmare, Ratnadeep R. Deshmukh, Pukhraj P. Shrishrimal, Ganesh B. Janvale,"Emotion Recognition System from Artificial Marathi Speech using MFCC and LDA Techniques ," Proc. of Int. Conf. on Advances in Communication, Network, and Computing, CNC, Elsevier, 2014.
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- Anuja Bombatkar, Gayatri Bhoyar, Khushbu Morjani, Shalaka Gautam,Vikas Gupta,” Emotion recognition using Speech Processing Using k-nearest neighbor algorithm,” International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, April 2014.
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